Evaluation of multi-decadal UCLA-CFSv2 simulation and impact of interactive atmospheric-ocean feedback on global and regional variability

Lee, Jiwoo; Xue, Yongkang; De Sales, Fernando; Diallo, Ismaila; Marx, Larry; Ek, Michael; Sperber, Kenneth R.; Gleckler, Peter J.

doi:10.1007/s00382-018-4351-8

Title: Evaluation of multi-decadal UCLA-CFSv2 simulation and impact of interactive atmospheric-ocean feedback on global and regional variability

Journal Article · 13 July 2018 · Climate Dynamics

DOI: https://doi.org/10.1007/s00382-018-4351-8 · OSTI ID:1463837

^[1]; Xue, Yongkang ^[2]; De Sales, Fernando ^[3]; Diallo, Ismaila ^[2]; Marx, Larry ^[4]; Ek, Michael ^[5]; Sperber, Kenneth R. ^[1]; Gleckler, Peter J. ^[1]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Univ. of California, Los Angeles, CA (United States)
San Diego State Univ., San Diego, CA (United States)
George Mason Univ., Fairfax, VA (United States)
National Oceanic and Atmospheric Administration (NOAA), College Park, MD (United States)

This paper evaluates multi-decadal simulations of the UCLA version of Climate Forecast System version 2 (CFSv2), in which the default Noah land surface model has been replaced with the Simplified Simple Biosphere Model version-2 (SSiB2). To examine the influence of the atmosphere-ocean (AO) interaction on the variability, two different simulations were conducted: one with interactive ocean component, and the other constrained by the prescribed sea surface temperature. We evaluate the mean seasonal climatology of precipitation and temperature, along with the model’s ability to reproduce atmospheric variability at different scales over the globe, including extratropical modes of atmospheric variability, and long-term trends of global and hemispheric temperature and regional precipitation. Here, we particularly selected two monsoon regions, East Asia and West Africa, where the simulation of multi-decadal variations which has heretofore been a challenging task, to examine decadal variation of monsoon precipitation. In general, temperature anomaly trends were better captured than those of precipitation in both simulations. Results suggest that the AO interaction, represented as latent heat flux, contributes to improve reproducibility of global-wide climatology, extratropical modes of atmospheric variability, and variability in the multi-decadal climate simulation, as well as for inter decadal variability of the East Asian summer monsoon.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1463837

Report Number(s):: LLNL--JRNL-742177; 896865

Journal Information:: Climate Dynamics, Journal Name: Climate Dynamics Journal Issue: 5-6 Vol. 52; ISSN 0930-7575

Publisher:: Springer-VerlagCopyright Statement

Country of Publication:: United States

Language:: English

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